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Freelance Machine Vision Engineer Jobs in Arizona

Robotics Automation Engineer

Tucson, AZ ยท On-site

$65 - $70/hr

Robotics Automation Engineer ROCGJP00040914 * Hourly pay: $65-$70/hr * Worksite: Leading ... This role combines expertise in robotics, mechatronics, motion control, machine vision, and system ...

Robotics Automation Engineer

Tucson, AZ ยท On-site

$65 - $70/hr

Robotics Automation Engineer ROCGJP00040914 * Hourly pay: $65-$70/hr * Worksite: Leading ... This role combines expertise in robotics, mechatronics, motion control, machine vision, and system ...

As an Automation Engineer , you will design, develop, and support automated manufacturing equipment ... This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ...

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

... machine control and instrumentation, vision systems, robotics; knowledge and experience in ... P&G's freelancer opportunities are for project-based or other short-term engagements that require ...

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

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Freelance Machine Vision Engineer information

Can you make 10k a month freelancing?

A Freelance Machine Vision Engineer can potentially earn $10,000 or more per month depending on experience, project complexity, client base, and hourly or project rates. Building a strong portfolio, specialized skills in AI and image processing, and establishing long-term client relationships can help achieve higher income levels. However, income varies widely and depends on market demand and individual effort.

What are the key skills and qualifications needed to thrive as a Freelance Machine Vision Engineer, and why are they important?

To excel as a Freelance Machine Vision Engineer, you need a solid background in computer vision, image processing, and programming, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like OpenCV, MATLAB, TensorFlow, and industrial camera systems, as well as relevant certifications, is highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top performers in this role. These capabilities are crucial for delivering innovative, client-focused solutions and adapting to diverse project requirements in a rapidly evolving industry.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers play a crucial role in developing, training, and fine-tuning AI models, as well as integrating them into real-world applications. Their expertise in algorithms, programming, and domain knowledge ensures that AI systems function effectively and ethically, making their role essential despite advancements in automation. Continuous learning and skills in machine learning frameworks like TensorFlow or PyTorch are important for these professionals.

What is the salary of a freelance ML engineer?

A freelance machine vision engineer's salary varies based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with specialized skills in deep learning and computer vision tools may command higher rates, especially for complex or long-term projects.

What is a Freelance Machine Vision Engineer?

A Freelance Machine Vision Engineer is a specialist who designs, develops, and implements computer vision systems on a project or contract basis. These professionals work independently with various clients to create solutions that enable machines to interpret and process visual information, such as images and videos, for tasks like quality inspection, object detection, or automation. Their work often involves programming, selecting appropriate hardware, and integrating vision systems into larger processes or machines. Freelancers in this field may serve industries like manufacturing, robotics, agriculture, or healthcare, depending on project needs.

What engineer makes $500,000 a year?

A highly experienced freelance machine vision engineer working on advanced projects in industries like autonomous vehicles or aerospace can potentially earn $500,000 annually. Such roles typically require specialized skills in computer vision, deep learning, and extensive industry experience, often involving consulting or contract work with high-value clients.

What is the difference between Freelance Machine Vision Engineer vs Machine Vision Engineer?

AspectFreelance Machine Vision EngineerMachine Vision Engineer
CredentialsTypically requires a degree in engineering or computer science; certifications are optionalUsually holds a degree in related fields; certifications can enhance prospects
Work EnvironmentIndependent, project-based, often remote or on-site at client locationsEmployed full-time at companies, labs, or research institutions
Employer & Industry UsageServes multiple clients across industries like manufacturing, robotics, and automationWorks within a single organization, focusing on internal projects

Freelance Machine Vision Engineers typically work independently on diverse projects, offering flexibility and a broad industry reach. In contrast, Machine Vision Engineers are usually employed full-time within organizations, focusing on specific company goals. Both roles require technical expertise, but their work settings and employment structures differ significantly.

How do freelance machine vision engineers typically manage client expectations and project timelines?

Freelance machine vision engineers often balance multiple projects and clients, making clear communication essential for managing expectations and deadlines. They usually begin by setting detailed project scopes, deliverables, and realistic timeframes in consultation with clients. Regular progress updates, milestone check-ins, and transparent reporting help prevent misunderstandings and ensure alignment throughout the development process. By proactively addressing potential challenges and being adaptable to changes, freelancers can maintain client satisfaction and build long-term relationships.
What are the most commonly searched types of Machine Vision Engineer jobs in Arizona? The most popular types of Machine Vision Engineer jobs in Arizona are:
What are popular job titles related to Freelance Machine Vision Engineer jobs in Arizona? For Freelance Machine Vision Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Freelance Machine Vision Engineer jobs? Cities in Arizona with the most Freelance Machine Vision Engineer job openings:
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Goodyear, AZ โ€ข On-site, Remote

$110K - $180K/yr

Other

Re-posted 13 days ago


Job description

Description

Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.


Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent



Position Description:

Develop AI-Powered Computer Vision Solutions for Real-World Mission Applications

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.


In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.


This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities include:ย 

  • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
  • Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
  • Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
  • Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
  • Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
  • Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
  • Collaborate with software engineers and MLOps teams to integrate models into production environments.
  • Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
  • Create technical documentation, experiment reports, and performance assessments.
  • Support technical reviews, customer briefings, and cross-functional engineering efforts. ย 

Requirements

  • U.S. Citizenship
  • Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
  • Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Experience training and evaluating machine learning models using large datasets.ย 
  • Experience developing and training computer vision models using deep learning techniques.
  • Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
  • Experience with model tuning, hyperparameter optimization, and performance evaluation.
  • Strong understanding of computer vision fundamentals and image analysis techniques.
  • Ability to improve model accuracy, robustness, and operational performance.
  • Familiarity with software engineering best practices, Git, and collaborative development workflows.ย 


ย ย Preferred Skills or Experience:

  • Experience with generative AI technologies, including diffusion models and image generation systems.
  • Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
  • Experience with object tracking, multi-object tracking, or video analytics.
  • Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
  • Familiarity with reinforcement learning or autonomous systems.
  • Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
  • Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
  • Experience supporting defense, intelligence, aerospace, or other mission-critical programs.


Why Join PSG?

At PSG, you'll work on challenging AI ย ย problems that directly support national security missions. You'll have the ย ย opportunity to collaborate with highly skilled engineers and researchers ย ย while helping shape the next generation of intelligent sensing, computer ย ย vision, and AI-enabled systems.

We offer:

  • Competitive compensation and ย ย benefits
  • Professional development and tuition ย ย assistance
  • Flexible and collaborative ย ย engineering culture
  • Exposure to cutting-edge AI/ML ย ย technologies
  • Direct impact on mission-critical ย ย programs
  • Opportunities to grow into technical ย ย leadership roles

Bring your passion for AI, computer vision, ย ย and machine learning to PSG and help build the next generation of intelligent ย ย mission systems.



Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs